Timber Losses from West Fork Complex Fire in Southwest Colorado

2019 ◽  
Vol 69 (4) ◽  
pp. 272-277
Author(s):  
Laren Cyphers ◽  
Kurt Mackes ◽  
Kevin Duda

Abstract This article provides an assessment of fire effects on timber burned in the West Fork Complex fire area, located in the San Juan Mountains of Colorado. The West Fork Complex fire burned 109,615 acres in 2013, and suppression costs alone totaled $33.2 million. Much of the fire occurred in spruce–fir forests that were previously affected by spruce beetle (Dendroctonus rufipennis). Several timber sales were actively occurring within the fire footprint, and more were anticipated to begin in subsequent years. To provide a more accurate valuation estimate, base log stumpage data from 2003 through 2017 were included in this study to show high degrees of variation over time. With base log stumpage values determined, estimates of total hundred cubic feet of each significant species were calculated using geospatial and forest inventory analysis data. This study determined the timber value loss resulting from the coupled disturbance events of the spruce beetle epidemic and a wildland fire to be $19,083,102. This estimate will allow for a more accurate valuation of the actual damage resulting from the West Fork Complex fire. This study may also be useful in supporting the literary basis for salvage and fuels management after a beetle outbreak to prevent such timber value losses from occurring.

Finance is an important input of agriculture. Sufficient and timely credit to the farmer is vital and indispensable for the rehabilitation and progress of agriculture. The present study was conducted in the West Tripura district of Tripura to analyze the magnitude, utilization, and constraints of farm finance availed by the borrowers in the district. 120 sample farmers and 20 lenders were selected using a purposive random sampling technique for detailed analysis. Data were collected by survey method using pretested schedules. The study revealed an increasing trend in terms of branch expansion, total deposits and advances over the years. Moreover, the C-D ratio increased from 41 in 2013-14to 45.77 in 2017-18. The sector-wise advances of banks showed an increasing trend and percentage share to the agricultural, and non-farm sectors was 27.57 and 72.43 in West Tripura. Inadequacy of loans, and lengthy lending procedures were problems identified by the borrower farmers. The majority of farmers (89.16 percent) opined that the borrowed amount was not adequate for meeting their farm expenses. As per the bank officials, the non-availability of the land records (80 percent) with the borrower was a major problem. To improve borrowing and utilization of farm finance remedial measures such as post-credit supervision by the Bank Field Officer and disbursement of the major portion of the loan in kind form may be adopted.


1992 ◽  
Vol 87 (1) ◽  
pp. 113-124 ◽  
Author(s):  
John A. Mavrogenes ◽  
Richard D. Hagni ◽  
Paul R. Dingess

2013 ◽  
Vol 22 (8) ◽  
pp. 1155 ◽  
Author(s):  
John W. Duffield ◽  
Chris J. Neher ◽  
David A. Patterson ◽  
Aaron M. Deskins

Federal wildland fire management policy in the United States directs the use of value-based methods to guide priorities. However, the economic literature on the effect of wildland fire on nonmarket uses, such as recreation, is limited. This paper introduces a new approach to measuring the effect of wildfire on recreational use by utilising newly available long-term datasets on the location and size of wildland fire in the United States and observed behaviour over time as revealed through comprehensive National Park Service (NPS) visitor data. We estimate travel cost economic demand models that can be aggregated at the site-landscape level for Yellowstone National Park (YNP). The marginal recreation benefit per acre of fire avoided in, or proximate to, the park is US$43.82 per acre (US$108.29 per hectare) and the net present value loss for the 1986–2011 period is estimated to be US$206 million. We also estimate marginal regional economic impacts at US$36.69 per acre (US$90.66 per hectare) and US$159 million based on foregone non-resident spending in the 17-county Great Yellowstone Area (GYA). These methods are applicable where time-series recreation data exist, such as for other parks and ecosystems represented in the 397-unit NPS system.


2016 ◽  
Vol 25 (1) ◽  
pp. 1 ◽  
Author(s):  
Roger D. Ottmar ◽  
J. Kevin Hiers ◽  
Bret W. Butler ◽  
Craig B. Clements ◽  
Matthew B. Dickinson ◽  
...  

The lack of independent, quality-assured field data prevents scientists from effectively evaluating and advancing wildland fire models. To rectify this, scientists and technicians convened in the south-eastern United States in 2008, 2011 and 2012 to collect wildland fire data in six integrated core science disciplines defined by the fire modelling community. These were fuels, meteorology, fire behaviour, energy, smoke emissions and fire effects. The campaign is known as the Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE) and sampled 14 forest and 14 non-forest sample units associated within 6 small replicate (<10 ha) and 10 large operational (between 10 and 1000 ha) prescribed fires. Precampaign planning included identifying hosting agencies receptive to research and the development of study, logistics and safety plans. Data were quality-assured, reduced, analysed and formatted and placed into a globally accessible repository maintained by the US Forest Service Research Data Archive. The success of the RxCADRE project led to the commencement of a follow-on larger multiagency project called the Fire and Smoke Model Evaluation Experiment (FASMEE). This overview summarises the RxCADRE project and nine companion papers that describe the data collection, analysis and important conclusions from the six science disciplines.


2008 ◽  
Vol 25 (2) ◽  
pp. 87-92 ◽  
Author(s):  
John R. Brooks ◽  
Harry V. Wiant

Abstract Local merchantable board foot, cubic foot, and weight equations are developed for six economically important hardwood species in central Appalachia. Equations were based on a simple power function and were fit to volumes from the US Forest Service Forest Inventory Analysis data for West Virginia and parts of Ohio, Pennsylvania, Maryland, Virginia, and Kentucky. Five ecoregions were identified and the volume equations were tested to determine whether differences by ecoregion were statistically significant. Results varied by species, volume type, and ecoregion. Average bias between a single-species region-wide model and specific ecoregion forms ranged from −9.1 to 8.5% for gross board foot volume (International ¼ in.), −3.5 to 9.2% for gross merchantable cubic foot volume, and −9.5 to 16.7% for merchantable drybole weight (pounds).


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